Multi-omics analysis identifies RFX7 targets involved in tumor suppression and neuronal processes

被引:6
|
作者
Schwab, Katjana [1 ]
Coronel, Luis [1 ]
Riege, Konstantin [1 ]
Sacramento, Erika K. [2 ]
Rahnis, Norman [2 ]
Haeckes, David [1 ]
Cirri, Emilio [2 ]
Groth, Marco [3 ]
Hoffmann, Steve [1 ]
Fischer, Martin [1 ]
机构
[1] Leibniz Inst Aging, Fritz Lipmann Inst FLI, Computat Biol Grp, Beutenbergstr 11, D-07745 Jena, Germany
[2] Leibniz Inst Aging, Fritz Lipmann Inst FLI, Core Facil Prote, Beutenbergstr 11, D-07745 Jena, Germany
[3] Leibniz Inst Aging, Fritz Lipmann Inst FLI, Core Facil Next Generat Sequencing, Beutenbergstr 11, D-07745 Jena, Germany
关键词
P53; PATHWAY; PROTEIN; PROGRESSION; VARIANTS; DREAM; LOCI; LINK; TP53;
D O I
10.1038/s41420-023-01378-1
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Recurrently mutated in lymphoid neoplasms, the transcription factor RFX7 is emerging as a tumor suppressor. Previous reports suggested that RFX7 may also have a role in neurological and metabolic disorders. We recently reported that RFX7 responds to p53 signaling and cellular stress. Furthermore, we found RFX7 target genes to be dysregulated in numerous cancer types also beyond the hematological system. However, our understanding of RFX7's target gene network and its role in health and disease remains limited. Here, we generated RFX7 knock-out cells and employed a multi-omics approach integrating transcriptome, cistrome, and proteome data to obtain a more comprehensive picture of RFX7 targets. We identify novel target genes linked to RFX7's tumor suppressor function and underscoring its potential role in neurological disorders. Importantly, our data reveal RFX7 as a mechanistic link that enables the activation of these genes in response to p53 signaling.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Integrated multi-omics analysis of Huntington disease identifies pathways that modulate protein aggregation
    Pradhan, Sai S.
    Thota, Sai M.
    Rajaratnam, Saiswaroop
    Bhagavatham, Sai K. S.
    Pulukool, Sujith K.
    Rathnakumar, Sriram
    Phalguna, Kanikaram S.
    Dandamudi, Rajesh B.
    Pargaonkar, Ashish
    Joseph, Prasanth
    Joshy, E., V
    Sivaramakrishnan, Venketesh
    DISEASE MODELS & MECHANISMS, 2022, 15 (10)
  • [32] Integrative Analysis Identifies Multi-Omics Signatures That Drive Molecular Classification of Uveal Melanoma
    Mo, Qianxing
    Wan, Lixin
    Schell, Michael J.
    Jim, Heather
    Tworoger, Shelley S.
    Peng, Guang
    CANCERS, 2021, 13 (24)
  • [33] A multi-omics analysis identifies molecular features associated with fertility in heifers (Bos taurus)
    Marrella, Mackenzie A.
    Biase, Fernando H.
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [34] A multi-omics analysis identifies molecular features associated with fertility in heifers (Bos taurus)
    Mackenzie A. Marrella
    Fernando H. Biase
    Scientific Reports, 13
  • [35] Multi-Omics Analysis Identifies MGA as a Negative Regulator of the MYC Pathway in Lung Adenocarcinoma
    Llabata, Paula
    Mitsuishi, Yoichiro
    Choi, Peter S.
    Cai, Diana
    Francis, Joshua M.
    Torres-Diz, Manuel
    Udeshi, Namrata D.
    Golomb, Lior
    Wu, Zhong
    Zhou, Jin
    Svinkina, Tanya
    Aguilera-Jimenez, Estrella
    Liu, Yanli
    Carr, Steven A.
    Sanchez-Cespedes, Montse
    Meyerson, Matthew
    Zhang, Xiaoyang
    MOLECULAR CANCER RESEARCH, 2020, 18 (04) : 574 - 584
  • [36] Multi-omics analysis identifies potential microbial and metabolite diagnostic biomarkers of bacterial vaginosis
    Challa, A.
    Maras, J. S.
    Nagpal, S.
    Tripathi, G.
    Taneja, B.
    Kachhawa, G.
    Sood, S.
    Dhawan, B.
    Acharya, P.
    Upadhyay, A. D.
    Yadav, M.
    Sharma, R.
    Bajpai, M.
    Gupta, S.
    JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY, 2024, 38 (06) : 1152 - 1165
  • [37] Multi-omics analysis identifies mitochondrial pathways associated with anxiety-related behavior
    Misiewicz, R. Zuzanna
    Iurato, Stella
    Kulesskaya, Natalia
    Salminen, Laura
    Rodrigues, Luis
    Maccarrone, Giuseppina
    Martins, Jade
    Czamara, Darina
    Laine, Mikaela A.
    Sokolowska, Ewa
    Trontti, Kalevi
    Rewerts, Christiane
    Novak, Bozidar
    Volk, Naama
    Park, Dong Ik
    Jokitalo, Eija
    Paulin, Lars
    Auvinen, Petri
    Voikar, Vootele
    Chen, Alon
    Erhardt, Angelika
    Turck, Christoph W.
    Hovatta, Iiris
    PLOS GENETICS, 2019, 15 (09):
  • [38] A multi-omics Mendelian randomization study identifies new therapeutic targets for alcohol use disorder and problem drinking
    Daniel B. Rosoff
    Josephin Wagner
    Andrew S. Bell
    Lucas A. Mavromatis
    Jeesun Jung
    Falk W. Lohoff
    Nature Human Behaviour, 2025, 9 (1) : 188 - 207
  • [39] Large-scale multi-omics identifies drug targets for heart failure with reduced and preserved ejection fraction
    Danielle Rasooly
    Claudia Giambartolomei
    Gina M. Peloso
    Hesam Dashti
    Brian R. Ferolito
    Daniel Golden
    Andrea R. V. R. Horimoto
    Maik Pietzner
    Eric H. Farber-Eger
    Quinn Stanton Wells
    Giorgio Bini
    Gabriele Proietti
    Gian Gaetano Tartaglia
    Nicole M. Kosik
    Peter W. F. Wilson
    Lawrence S. Phillips
    Patricia B. Munroe
    Steffen E. Petersen
    Kelly Cho
    J. Michael Gaziano
    Andrew R. Leach
    John Whittaker
    Claudia Langenberg
    Nay Aung
    Yan V. Sun
    Alexandre C. Pereira
    Juan P. Casas
    Jacob Joseph
    Nature Cardiovascular Research, 2025, 4 (3): : 293 - 311
  • [40] Multi-omics integration identifies ferroptosis involved in black phosphorus quantum dots-induced renal injury
    Ruan, Fengkai
    Liu, Changqian
    Zeng, Jie
    Zhang, Fucong
    Jiang, Yu
    Zuo, Zhenghong
    He, Chengyong
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 947